# Gradio Chatbot Output Rendering Issue

**URL:** <https://discuss.huggingface.co/t/gradio-chatbot-output-rendering-issue/32627>\
**Category:** 🔒 Gradio\
**Created:** [February 27, 2023, 1:31pm UTC](https://discuss.huggingface.co/t/gradio-chatbot-output-rendering-issue/32627 "2023-02-27T13:31:29Z")\
**Posts on this page:** 1\
**Page:** 1

<div class="post-metadata">

**Author:** ![Debanshu](https://avatars.discourse-cdn.com/v4/letter/d/e9a140/32.png) [@Debanshu](https://discuss.huggingface.co/u/Debanshu)\
**Post date:** [February 27, 2023, 1:31pm UTC](https://discuss.huggingface.co/t/gradio-chatbot-output-rendering-issue/32627/1 "2023-02-27T13:31:29Z")

</div>

So I have used the Gradio Library to create a Chatbot interface using the GPT2\_Simple model I have retrained.

```auto
# Define a function to generate a response given an input
def generate_response(input_text,context=[]):
  import gpt_2_simple as gpt2

  # Start a TensorFlow session and load the GPT-2 model
  sess = gpt2.start_tf_sess()

  gpt2.load_gpt2(sess,run_name="run1",checkpoint_dir="/dbfs/FileStore/test_gpt2/checkpoint/",model_dir = "/dbfs/FileStore/models")
  print('Generate Response Input',input_text)
  context += [input_text]
  updated_input = ""
  updated_input = '[User] : '+input_text+'\n'+'[BOT] :'
  print('Updated Input',updated_input)
  response = gpt2.generate(sess, model_dir="/dbfs/FileStore/models", checkpoint_dir="/dbfs/FileStore/test_gpt2/checkpoint/",truncate= "\n",
                              temperature=1,top_k=10,top_p=0.8,prefix=updated_input,include_prefix=False,
                              return_as_list=True)[0]
  response = response.strip()
  context += [response]
  responses = [(u,b) for u,b in zip(context[::2], context[1::2])]
  sess.close()
  print('Response in Generate func',responses)
  print('Context',context)
  return responses,context

```

# with gr.Blocks() as demo:

# chatbot = gr.Chatbot()

# state = gr.State()

# with gr.Row():

# txt = gr.Textbox(show\_label=False, placeholder=“Enter text and press enter”).style(container=False)

# txt.submit(generate\_response, [txt, state], [chatbot, state])

import gradio as gr

# defines a basic dialog interface using Gradio

with gr.Blocks() as dialog\_app:  
chatbot = gr.Chatbot() # dedicated “chatbot” component  
state = gr.State() # session state that persists across multiple submits

```
with gr.Row():
    txt = gr.Textbox(
        show_label=False, 
        placeholder="Enter text and press enter"
    ).style(container=False)

txt.submit(generate_response, [txt, state], [chatbot, state])

```

# launches the app in a new local port

dialog\_app.launch(debug=True,share=True)

This function gives me output in general but with Gradio in debug mode, I can see output is generated but on the screen nothing is there.  
Can someone help with this?